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Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan

Author

Listed:
  • Luay Jum’a

    (German Jordanian University)

  • Muhammad Ikram

    (Al Akhawayn University in Ifrane)

  • Ziad Alkalha

    (The University of Jordan)

  • Maher Alaraj

    (Zayed University)

Abstract

Information and communication technology make it easier for managers to gather customer data quickly and efficiently. However, managing, analysing, and utilizing the vast amount of data for sustainability decision are not easy. Therefore, this study aims to examine the readiness of manufacturing firms in adopting big data analytics in sustainable development. Moreover, this study employed the Partial Least Square Structural Equation Modelling (PLS-SEM) technique and analyses the data collected from 172 respondents working in different organizations in Amman and Jordan. The results reveal that there is a significant relationship between top management support and competitive pressures and intentions to adopt big data analytics. However, the moderating influence of perceived risk on the relationship between intention and actual use of big data has not been proved. The study provides fresh findings on determinants of intention to adopt big data analytics, actual use, and moderating role of perceived risk within the model to develop sustainability. Furthermore, the study has a number of theoretical and practical implications. Our main findings provide a deeper understanding of the enablers of BDA adoption through the development of a framework that includes direct and moderating constructs, as well as recommendations to practitioners on how to enhance BDA adoption based on eight BDA enablers.

Suggested Citation

  • Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    • Handle: RePEc:spr:gjofsm:v:23:y:2022:i:4:d:10.1007_s40171-022-00313-0
    DOI: 10.1007/s40171-022-00313-0
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    Cited by:

    1. Fathi Alarabi Yosef & Luay Jum’a & Muntasir Alatoom, 2023. "Identifying and Categorizing Sustainable Supply Chain Practices Based on Triple Bottom Line Dimensions: Evaluation of Practice Implementation in the Cement Industry," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    2. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    3. Ragmoun Wided, 2023. "IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 123-142, March.
    4. Margherita Bernabei & Marco Eugeni & Paolo Gaudenzi & Francesco Costantino, 2023. "Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 67-86, March.
    5. Abhijit Barman & Ashis Kumar Chakraborty & Shib Sankar Sana & Parthasarathi Banerjee, 2024. "Pricing Strategy and Risk-Averse Flexibility in Sustainable Supply Chain: A Dual-Channel Logistics Process Under Reward Contracts and Demand Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(4), pages 733-762, December.

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